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Yan Zhang | Meshcapade
Research Scientist
Meshcapade
yan@meshcapade.com
Yan Zhang
| homepage at ETH Zurich | homepage at MPI Tuebingen |
About Me
I am a scientific leader at Meshcapade, working on generative human foundation models. My research covers human motion and behavior synthesis, 3D human perception, generative models, and their applications in AR/VR, embodied AI, interactive avatar, and beyond.
Short Bio
- Postdoc researcher at VLG, ETH Zurich, supervised by Prof. Siyu Tang, 2020-2023.
- PhD defense in June 2020 from Ulm University, supervised by Prof. Heiko Neumann.
- Research intern at MPI for Intelligent Systems, working with Prof. Michael J. Black, Prof. Siyu Tang, and PS folks, 2018-2020.
- More details in my CV.
News
- [Aug. 2025] Serve as area chair for CVPR’26.
- [Aug. 2025] serve on the Senior Program Committee, AAAI’26
- [Jun. 2025] PRIMAL is accepted by ICCV’25.
- [Apr. 2025] Guest lecturer of Artificial Intelligence for Digital Characters, ETH Zurich.
- [Apr. 2025] SmallGS for camera motion estimation in Tiktok-like videos is accepted as a CVPR’25 workshop paper.
- [Dec. 2024] Co-organizer of the 3D Human Understanding Workshop at CVPR’25.
Services
Chair & Review
- serve on the Senior Program Committee, AAAI'26
- Area Chair: 3DV'24, CVPR'24, CVPR'25
- Reviewers of Siggraph Asia'23, CVPR, ICCV, ECCV, 3DV regularly
- TPAMI, EuroGraphics
Activities
- Organizer of the workshop New Challenges in 3D Human Understanding at CVPR'25.
- Organizer of the workshop Foundation Models for 3D Humans at ECCV'24.
- Invited guest lecture of RL in Behavior Modeling in Artificial Intelligence for Digital Characters - SS 24/25 Computer Graphics Lab, ETH Zurich.
- Organizer of the workshop Human Body, Hands, and Activities from Egocentric and Multi-view Cameras at ECCV'22.
Other Affiliations
- Max-Planck ETH Center for Learning Systems (CLS), 2020-2023
- ETH AI Center, 2020-2023
Teaching
Co-supervised Student Projects at ETH Zurich
- Pascal Troxler & Onat Vuran, Multiview hand motion capture with diffusion models in Immsersive Design Lab, 2023
- Chuqiao Li, 3D human pose estimation from egocentric images, 2023
- Haoliang Shang, Retargeting SMPL-X bodies to Metahumans, 2023
- Yelan Tao, Virtual Humans meet Real Drones: Drone flight simulation in populated scenes, 2023
- Lukas Bösiger, Navigating digital humans in mixed reality, 2022
- Kaifeng Zhao, Semantically Controllable Human-Scene Interaction Synthesis, 2022
- Jonathan Lehner, Digital human navigation in the verticle city, 2022
- Yan Wu & Jiahao Wang, Stochastic Whole-Body Grasping with Contact, 2021
- Dexin Yang, 4D Human Body Capture from Egocentric Video via 3D Scene Grounding, 2020
- Siwei Zhang, Proximity learning of articulation and contact in 3D environments, 2020
Lectures at ETH Zurich
- Reinforcement Learning in Behavior Modeling, Artificial Intelligence for Digital Characters, 2024
- Human motion modeling I and II, Virtual Humans, 2022
- The wanderings of Odysseus in 3D scenes, Mixed Reality, 2022
Seminars at ETH Zurich
- Seminar in Advanced Topics in Vision, 2020,2021,2022,2023
- Seminar on Digital Humans, 2022,2023
Selected Publications
-
Please see all at Google Scholar
-
ICCV
Yan Zhang, Yao Feng, Alpár Cseke, Nitin Saini, Nathan Bajandas, Nicolas Heron, Michael J. BlackInternational Conference on Computer Vision (ICCV), 2025.A diffusion model produces avatar's motions and reactions in real time. -
CVPR
Yan Zhang, Sergey Prokudin, Marko Mihajlovic, Qianli Ma, Siyu TangIEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024.A compact implicit motion field with spatiotemporal regularity. -
CVPR
Gen Li, Kaifeng Zhao, Siwei Zhang, Xiaozhong Lyu, Mihai Dusmanu, Yan Zhang, Marc Pollefeys, Siyu TangIEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024. (ORAL)Human motion synthesis with egocentric visual perception; Rendered synthetic data boosts several egocentric vision tasks. -
CVPR
Ronghui Li, YuXiang Zhang, Yachao Zhang, Hongwen Zhang, Jie Guo, Yan Zhang, Yebin Liu, Xiu LiIEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024.A two-stage coarse-to-fine diffusion architecture for extremely long dance generation; characteristic dance primitives. -
ICCV
Kaifeng Zhao, Yan Zhang, Shaofei Wang, Thabo Beeler, Siyu TangIEEE/CVF International Conference on Computer Vision (ICCV), 2023.Generative motion pritimives + RL to synthesize lifelike behavior in 3D scenes. -
ICCV
Siwei Zhang, Qianli Ma, Yan Zhang, Sadegh Aliakbarian, Darren Cosker, Siyu TangIEEE/CVF International Conference on Computer Vision (ICCV), 2023. (ORAL)A scene-conditioned diffusion model regresses 3D bodies from single images. The denoising process guided by COAP solves interpenetration. -
CVPR
Yan Zhang, Siyu TangIEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022.Generative motion pritimives + RL to synthesize locomotion behavior of diverse human identities. Featured at the homepage of ETH Zurich. -
CVPR
Yan Zhang, Michael J. Black, Siyu TangIEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021.A novel marker-based body representation for stochastic motion prediction. -
CVPR
Yan Zhang, Mohamed Hassan, Heiko Neumann, Michael J Black, Siyu TangIEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020 (ORAL) .generative model to populate scenes + test-time optimization -
ECCV
Siwei Zhang, Qianli Ma, Yan Zhang, Zhiyin Qian, Taein Kwon, Marc Pollefeys, Federica Bogo & Siyu TangEuropean Conference on Computer Vision (ECCV), 2022.A dataset of people interactions in 3D scenes, captured by Kinects and Hololens. -
ICCV
Siwei Zhang, Yan Zhang, Federica Bogo, Marc Pollefeys, Siyu TangIEEE/CVF International Conference on Computer Vision (ICCV), 2021 (ORAL) .Marker motion priors to capture body motions in 3D scenes.
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